A network medicine study has identified mechanisms by which COVID-19 can lead to dementia-like cognitive impairment. The findings may help inform risk management and treatment strategies for COVID-19-linked dementia.
Artificial Intelligence. Quantum computing. Hybrid cloud. What do these terms really mean and how will they help physicians to better serve patients?
The key is semantic segmentation of kidneys and kidney tumors — linking each pixel in a CT scan to a specific label — and training a computer to recognize the images, in a method known as deep learning.
Cleveland Clinic is collaborating with the NFL Players Association to create a research network that uses machine learning to develop tools to help identify, treat and prevent brain disorders.
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A new methodology developed at Cleveland Clinic combines electroencephalography (EEG) and artificial intelligence to diagnose pain accurately and objectively.
When a patient outsmarts traditional cognitive screening tests, an AI-based test can catch memory impairment.
We’re involved with NIH-funded multicenter projects deploying computer algorithms and machine learning to better predict cardiac allograft rejection and improve characterization of a rare cardiomyopathy.
A computer model developed by Cleveland Clinic Cancer Center researchers and their colleagues who applied machine learning to clinical and genomic datasets is able to predict the survival of individual acute myeloid leukemia patients more accurately than existing models.
Opportunities are on the horizon for AI and nursing practice. Associate Chief Nursing Officer Nelita Iuppa, PhD, RN, shares how AI is partnering with nursing to provide patient care.
The secret to making healthcare data an asset rather than a burden lies in ensuring that it’s well-characterized data from real-world practice. We share top-level insights from our experience, including the centrality of collaboration.